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Cartwright on Causality: Methods, Metaphysics and Modularity - Hunting Causes and Using Them: Approaches in Philosophy and Economics, Nancy Cartwright. Cambridge University Press, 2008, x + 270 pages.

Published online by Cambridge University Press:  17 March 2010

Daniel Steel
Daniel Steel*
Affiliation:
Michigan State University
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Type
Reviews Symposium
Information
Economics & Philosophy , Volume 26 , Issue 1 , March 2010 , pp. 77 - 86
Copyright
Copyright © Cambridge University Press 2010

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References

REFERENCES

Cartwright, N. 1989. Nature's Capacities and Their Measurement. Oxford: Oxford University Press.Google Scholar
Cartwright, N. 1999. The Dappled World: A Study of the Boundaries of Science. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Cartwright, N. 2007. Hunting Causes and Using Them: Approaches in Philosophy and Economics. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Glymour, C. 1997. A review of recent work on the foundations of causal inference. In Causality in Crisis? Statistical Methods and the Search for Causal Knowledge in the Social Sciences, ed. McKim, V. and Turner, S., 201–248. South Bend, IA: University of Notre Dame Press.Google Scholar
Glymour, C. and Cooper, G., Eds, . 1999. Computation, Causation, and Discovery. Cambridge, MA: MIT Press.Google Scholar
Hausman, D. and Woodward, J. 1999. Independence, invariance and the causal Markov condition. British Journal for the Philosophy of Science 50: 521–583.CrossRefGoogle Scholar
Hausman, D. and Woodward, J. 2004. Modularity and the causal Markov condition: a restatement. British Journal for the Philosophy of Science 55: 147–161.CrossRefGoogle Scholar
Neopolitan, R. 2004. Learning Bayesian Networks. Upper Saddle River, NJ: Prentice Hall.Google Scholar
Pearl, J. 1998. TETRAD and SEM. Multivariate Behavioral Research 33: 119–128.CrossRefGoogle ScholarPubMed
Pearl, J. 2000. Causality: Models, Reasoning, and Inference. Cambridge: Cambridge University Press.Google Scholar
Spirtes, P., Glymour, C. and Scheines, R. 1993. Causation, Prediction, and Search. New York: Springer Verlag.CrossRefGoogle Scholar
Spirtes, P., Glymour, C. and Scheines, R. 2000. Causation, Prediction, and Search, 2nd edition. Cambridge, MA: MIT Press.Google Scholar
Spohn, W. 2001. Bayesian nets are all there is to causal dependence. In Stochastic Causality, ed. Costantini, D., Galavottia, M. and Suppes, P.. Stanford, CA: CSLI Publications.Google Scholar
Steel, D. 2006. Homogeneity, selection, and the faithfulness condition. Minds and Machines 16: 303–317.CrossRefGoogle Scholar
Steel, D. 2008. Across the Boundaries: Extrapolation in Biology and Social Science. New York: Oxford University Press.Google Scholar
Suppes, P. 1970. A Probabilistic Theory of Causality. Amsterdam: North-Holland.Google Scholar
Woodward, J. 1998. Causal independence and faithfulness. Multivariate Behavioral Research 33: 129–148.CrossRefGoogle ScholarPubMed
Woodward, J. 2003. Making Things Happen: A Theory of Causal Explanation. Oxford: Oxford University Press.Google Scholar
Williamson, J. 2005. Bayesian Nets and Causality: Philosophical and Computational Foundations. Oxford: Oxford University Press.Google Scholar